Combined Denoising and Suppression of Transient Artifacts in Arterial Spin Labeling MRI Using Deep Learning

Background Arterial spin labeling (ASL) is a useful tool for measuring cerebral blood flow (CBF). However, due to the low signal‐to‐noise ratio (SNR) of the technique, multiple repetitions are required, which results in prolonged scan times and increased susceptibility to artifacts. Purpose To devel...

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Bibliographic Details
Published in:	Journal of magnetic resonance imaging Vol. 52; no. 5; pp. 1413 - 1426
Main Authors:	Hales, Patrick W., Pfeuffer, Josef, Clark, Chris
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 01.11.2020 Wiley Subscription Services, Inc
Subjects:	Adult Algorithms arterial spin labeling ASL autoencoder Blood flow Brain - diagnostic imaging Cerebral blood flow Cerebrovascular Circulation Child CNN Deep Learning denoising Encoding-Decoding Field strength Humans Image acquisition Image quality Labeling Magnetic Resonance Imaging Medical imaging Noise reduction Oncology Perfusion Retrospective Studies Simultaneous discrimination learning Spin labeling Spin Labels Statistical analysis Statistical tests Variance analysis denoising deep learning CNN ASL autoencoder arterial spin labeling
ISSN:	1053-1807, 1522-2586, 1522-2586
Online Access:	Get full text
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